359 citations · 2.3k across the 33 of their papers we have counts for
34 papers
Mapping tissue microstructure of brain white matter in vivo in health and disease using diffusion MRI
Ying Liao, Santiago Coelho, Jenny Chen +7
Diffusion magnetic resonance imaging offers unique in vivo sensitivity to tissue microstructure in brain white matter, which undergoes significant changes during development and is…
Optimization and Validation of the DESIGNER dMRI preprocessing pipeline in white matter aging
Jenny Chen, Benjamin Ades-Aron, Hong-Hsi Lee +5
Various diffusion MRI (dMRI) preprocessing pipelines are currently available to yield more accurate diffusion parameters. Here, we evaluated accuracy and robustness of the optimize…
Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems
Santiago Coelho, Steven H. Baete, Gregory Lemberskiy +5
Estimating intra- and extra-axonal microstructure parameters, such as volume fractions and diffusivities, has been one of the major efforts in brain microstructure imaging with MRI…
Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange
Ileana O. Jelescu, Alexandre de Skowronski, Françoise Geffroy +2
Biophysical models of diffusion in white matter are based on what is now commonly referred to as the "Standard Model" (SM) of non-exchanging anisotropic Gaussian compartments. In t…
Realistic Microstructure Simulator (RMS): Monte Carlo simulations of diffusion in three-dimensional cell segmentations of microscopy images
Hong-Hsi Lee, Els Fieremans, Dmitry S Novikov
Background: Monte Carlo simulations of diffusion are commonly used as a model validation tool as they are especially suitable for generating the diffusion MRI signal in complicated…
The impact of realistic axonal shape on axon diameter estimation using diffusion MRI
Hong-Hsi Lee, Sune N. Jespersen, Els Fieremans +1
To study axonal microstructure with diffusion MRI, axons are typically modeled as straight impermeable cylinders, whereby the transverse diffusion MRI signal can be made sensitive…